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Feizizadeh, B., Blaschke, T., Nazmfar, H., Rezaei Moghaddam, M.H.. (1392). Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS. , 7(2), 319-336. doi: 10.22059/ijer.2013.610
B. Feizizadeh; T. Blaschke; H. Nazmfar; M.H. Rezaei Moghaddam. "Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS". , 7, 2, 1392, 319-336. doi: 10.22059/ijer.2013.610
Feizizadeh, B., Blaschke, T., Nazmfar, H., Rezaei Moghaddam, M.H.. (1392). 'Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS', , 7(2), pp. 319-336. doi: 10.22059/ijer.2013.610
Feizizadeh, B., Blaschke, T., Nazmfar, H., Rezaei Moghaddam, M.H.. Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS. , 1392; 7(2): 319-336. doi: 10.22059/ijer.2013.610

Landslide Susceptibility Mapping for the Urmia Lake basin, Iran: A multi- Criteria Evaluation Approach using GIS

International Journal of Environmental Research
مقاله 5، دوره 7، شماره 2، تیر 2013، صفحه 319-336    اصل مقاله (611.53 K)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22059/ijer.2013.610
نویسندگان
B. Feizizadeh* 1؛ T. Blaschke2؛ H. Nazmfar3؛ M.H. Rezaei Moghaddam4
11Department of Physical Geography Centre for Remote Sensing and GIS, University of Tabriz, Iran, Department of Geography & Geology Centre for Geoinformatics , University of Salzburg, 5020, Austria
2Department of Geography & Geology Centre for Geoinformatics , University of Salzburg, 5020, Austria
3Department of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran
4Department of Physical Geography Centre for Remote Sensing and GIS, University of Tabriz, Iran
چکیده
Although typically small in terms of their spatial footprint, landslide hazards are relatively
frequent in Northern Iran. We assess landslide susceptibility for the nearly 20.000 km2 large study area of the Urmia lake basin which is dominated by agricultural land use but includes the major settlements areas of the East Azerbaijan province, Iran. Landslide factors are established in form of GIS dataset layers including
topography, geology, climatology and land use. After pre-processing all data layers are standardized based on a fuzzy logic model. An Analytical Hierarchical Process (AHP) delivers the weights for the GIS-analysis.
Datasets are combined by GIS spatial analysis techniques and a landslide susceptibility map of the study area is created. An existing inventory of known landslides within the case study area was compared with the
resulting susceptibility map. We found that high susceptible zones cover about 4.47% (944 km2) of the total
area whereby geological outcrops of sedimentary and volcanic formations such as volcanic ash contribute most to the landslide susceptibility. Due to the dynamic growth of settlements especially in the vicinity of the city of Tabriz landslide hazards may cause even more damage in the future.The resulting information of this
research is useful for a) a better understanding of existing landslides and their origins in North-Western Iran, b) supporting emergency decisions and c) prioritization of efforts for the reduction and mitigation of future landslide hazards.
کلیدواژه‌ها
Landslide؛ Susceptibility mapping؛ GIS- spatial analysis؛ MCDA؛ Urmia lake basin؛ Iran
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